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Eine Ebene höherGruppiert nach: Dokumententyp |
Veröffentlichungsdatum
Anzahl der Publikationen: 13
2022
Wocher, Matthias; Berger, Katja; Verrelst, Jochem und Hank, Tobias
(2022):
Retrieval of carbon content and biomass from hyperspectral imagery over cultivated areas.
In: Isprs Journal of Photogrammetry and Remote Sensing, Bd. 193: S. 104-114
Estevez, Jose; Salinero-Delgado, Matias; Berger, Katja; Pipia, Luca; Rivera-Caicedo, Juan Pablo; Wocher, Matthias; Reyes-Munoz, Pablo; Tagliabue, Giulia; Boschetti, Mirco und Verrelst, Jochem
(2022):
Gaussian processes retrieval of crop traits in Google Earth Engine based on Sentinel-2 top-of-atmosphere data.
In: Remote Sensing of Environment, Bd. 273, 112958
2021
Berger, Katja; Rivera Caicedo, Juan Pablo; Martino, Luca; Wocher, Matthias; Hank, Tobias und Verrelst, Jochem
(2021):
A Survey of Active Learning for Quantifying Vegetation Traits from Terrestrial Earth Observation Data.
In: Remote Sensing, Bd. 13, Nr. 2, 287
Danner, Martin; Berger, Katja; Wocher, Matthias; Mauser, Wolfram und Hank, Tobias
(2021):
Efficient RTM-based training of machine learning regression algorithms to quantify biophysical & biochemical traits of agricultural crops.
In: Isprs Journal of Photogrammetry and Remote Sensing, Bd. 173: S. 278-296
Estevez, Jose; Berger, Katja; Vicent, Jorge; Rivera-Caicedo, Juan Pablo; Wocher, Matthias und Verrelst, Jochem
(2021):
Top-of-Atmosphere Retrieval of Multiple Crop Traits Using Variational Heteroscedastic Gaussian Processes within a Hybrid Workflow.
In: Remote Sensing, Bd. 13, Nr. 8, 1589
2020
Berger, Katja; Verrelst, Jochem; Féret, Jean-Baptiste; Wang, Zhihui; Wocher, Matthias; Strathmann, Markus; Danner, Martin; Mauser, Wolfram und Hank, Tobias
(2020):
Crop nitrogen monitoring: Recent progress and principal developments in the context of imaging spectroscopy missions.
In: Remote Sensing of Environment, Bd. 242, 111758
Berger, Katja; Verrelst, Jochem; Feret, Jean-Baptiste; Hank, Tobias; Wocher, Matthias; Mauser, Wolfram und Camps-Valls, Gustau
(2020):
Retrieval of aboveground crop nitrogen content with a hybrid machine learning method.
In: International Journal of Applied Earth Observation and Geoinformation, Bd. 92, 102174
Wocher, Matthias; Berger, Katja; Danner, Martin; Mauser, Wolfram und Hank, Tobias
(2020):
RTM-based dynamic absorption integrals for the retrieval of biochemical vegetation traits.
In: International Journal of Applied Earth Observation and Geoinformation, Bd. 93, 102219
2019
Danner, Martin; Berger, Katja; Wocher, Matthias; Mauser, Wolfram und Hank, Tobias
(2019):
Fitted PROSAIL Parameterization of Leaf Inclinations, Water Content and Brown Pigment Content for Winter Wheat and Maize Canopies.
In: Remote Sensing, Bd. 11, Nr. 10, 1150
2018
Wocher, Matthias; Berger, Katja; Danner, Martin; Mauser, Wolfram und Hank, Tobias
(2018):
Physically-Based Retrieval of Canopy Equivalent Water Thickness Using Hyperspectral Data.
In: Remote Sensing, Bd. 10, Nr. 12, 1924
[PDF, 6MB]
Berger, Katja; Atzberger, Clement; Danner, Martin; Wocher, Matthias; Mauser, Wolfram und Hank, Tobias
(2018):
Model-Based Optimization of Spectral Sampling for the Retrieval of Crop Variables with the PROSAIL Model.
In: Remote Sensing, Bd. 10, Nr. 12, 2063
[PDF, 1MB]
Berger, Katja; Atzberger, Clement; Danner, Martin; Wocher, Matthias; Mauser, Wolfram und Hank, Tobias
(2018):
Modellbasierte Selektion hyperspektraler EnMAP Kanäle zur optimalen Invertierung von Strahlungstransfermodellen für landwirtschaftliche Kulturen.
In: Pfg-Journal of Photogrammetry Remote Sensing and Geoinformation Science, Bd. 86, Nr. 5-6: S. 263-272
2017
Danner, Martin; Berger, Katja; Wocher, Matthias; Mauser, Wolfram und Hank, Tobias
(2017):
Retrieval of Biophysical Crop Variables from Multi-Angular Canopy Spectroscopy.
In: Remote Sensing, Bd. 9, Nr. 7, 726
[PDF, 7MB]